15 citations · 17 across the 5 of their papers we have counts for
5 papers
Mapping the individual, social, and biospheric impacts of Foundation Models
Andrés Domínguez Hernández, Shyam Krishna, Antonella Maia Perini +9
Responding to the rapid roll-out and large-scale commercialization of foundation models, large language models, and generative AI, an emerging body of work is shedding light on the…
AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow
David Leslie, Cami Rincon, Morgan Briggs +10
The sustainability of AI systems depends on the capacity of project teams to proceed with a continuous sensitivity to their potential real-world impacts and transformative effects.…
AI Ethics and Governance in Practice: An Introduction
David Leslie, Cami Rincon, Morgan Briggs +8
AI systems may have transformative and long-term effects on individuals and society. To manage these impacts responsibly and direct the development of AI systems toward optimal pub…
AI Fairness in Practice
David Leslie, Cami Rincon, Morgan Briggs +10
Reaching consensus on a commonly accepted definition of AI Fairness has long been a central challenge in AI ethics and governance. There is a broad spectrum of views across society…
AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects
David Leslie, Cami Rincon, Morgan Briggs +10
Sustainable AI projects are continuously responsive to the transformative effects as well as short-, medium-, and long-term impacts on individuals and society that the design, deve…